IDEAS home Printed from https://ideas.repec.org/a/taf/mimoxx/v49y2019i1p108-119.html
   My bibliography  Save this article

The Future of Employee Engagement: Real-Time Monitoring and Digital Tools for Engaging a Workforce

Author

Listed:
  • Jennifer R. Burnett
  • Timothy C. Lisk

Abstract

At no other time have organizations had so much opportunity to measure and evaluate the effectiveness and efficiency of their workforce. While not all companies have yet to embrace the tools and technology available to them, leading companies have been able to capitalize on new technologies that track productivity, sales, customer satisfaction, work flows, quality, and workplace interactions on a frequent, sometimes real time basis. Additionally, the tools to synthesize and analyze this data has also rapidly advanced in the last few years with the more mainstream availability of statistical modeling, machine learning technology, and artificial intelligence applications. Yet, when it comes to measuring and tracking employee engagement, most companies still evaluate engagement on an annual, or longer, basis using traditional survey techniques. While these practices have provided a wealth of insight into the dimensions and impact of engagement, it is time to rethink how we are measuring engagement and, more importantly, how the same digital tools can be applied towards improving the productivity, retention, and satisfaction of the workforce. We propose a series of research topics to address this modern trend of the impact of technological advances on both the measurement of engagement and the application of human resource management (HRM) practices to improve engagement.

Suggested Citation

  • Jennifer R. Burnett & Timothy C. Lisk, 2019. "The Future of Employee Engagement: Real-Time Monitoring and Digital Tools for Engaging a Workforce," International Studies of Management & Organization, Taylor & Francis Journals, vol. 49(1), pages 108-119, January.
    • Handle: RePEc:taf:mimoxx:v:49:y:2019:i:1:p:108-119
    DOI: 10.1080/00208825.2019.1565097
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00208825.2019.1565097
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00208825.2019.1565097?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Prikshat, Verma & Islam, Mohammad & Patel, Parth & Malik, Ashish & Budhwar, Pawan & Gupta, Suraksha, 2023. "AI-Augmented HRM: Literature review and a proposed multilevel framework for future research," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    2. Nadeem, Kashif & Wong, Sut I. & Za, Stefano & Venditti, Michelina, 2024. "Digital transformation and industry 4.0 employees: Empirical evidence from top digital nations," Technology in Society, Elsevier, vol. 76(C).
    3. Christina J. Herden & Ervin Alliu & André Cakici & Thibaut Cormier & Catherine Deguelle & Sahil Gambhir & Caleb Griffiths & Shrishti Gupta & Sahil R. Kamani & Yonca-Selda Kiratli & Máté Kispataki & Gr, 2021. "“Corporate Digital Responsibility”," Sustainability Nexus Forum, Springer, vol. 29(1), pages 13-29, March.
    4. Ali Falah Dalain, 2023. "Nurturing Employee Engagement at Workplace and Organizational Innovation in Time of Crisis With Moderating Effect of Servant Leadership," SAGE Open, , vol. 13(2), pages 21582440231, May.
    5. Michael Rivera & Cheng Jiang & Subodha Kumar, 2024. "Seek and Ye Shall Find: An Empirical Examination of the Effects of Seeking Real-Time Feedback on Employee Performance Evaluations," Information Systems Research, INFORMS, vol. 35(2), pages 783-806, June.
    6. Carradini, Stephen & Getchell, Kristen & Cardon, Peter & Fleischmann, Carolin & Aritz, Jolanta & Stapp, James, 2024. "Evidence-based recommendations for recorded-meetings policies," Business Horizons, Elsevier, vol. 67(1), pages 83-92.
    7. Hoffmann, Christin & Thommes, Kirsten, 2020. "Can digital feedback increase employee performance and energy efficiency in firms? Evidence from a field experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 49-65.
    8. Clotilde Coron, 2021. "Quantifying Human Resource Management: A Literature Review," Post-Print halshs-03212718, HAL.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:mimoxx:v:49:y:2019:i:1:p:108-119. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/mimo .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.